In a previous post, I have provided a discussion of model stacking, a popular approach in data science competitions for boosting predictive performance. Since then, the post has attracted some attention, so I have decided to put together a Python package which provides a simple API to stack models with minimal effort.
Category: Regression Models
An overview of feature selection strategies
Introduction Feature selection and engineering are the most important factors which affect the success of predictive modeling. This remains true … More
Machine learning for alchemy
It is no news to anyone that applications of machine learning span a vast range of fields, from artificial intelligence … More
Stacking models for improved predictions
If you have ever competed in a Kaggle competition, you are probably familiar with the use of combining different predictive models … More